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Calvin French-Owen

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-08-29 / hn-researcherCalvin French-Owen Puts a Price on the Small-Model Shift: $0.10 a Day Where Sonnet-Class Cost $1French-Owen's August 26 post argues small models crossed the viability line for consumer apps, using his own daily news personalization eval as the measurement: about $0.10 a run on gpt-5.6-luna at roughly 100 tokens per second, against about $1 on a Sonnet-class model. He names GLM 5.3 as a new point on the efficiency frontier and Fable 5 and 5.6 Sol as the expensive capable tier. His framing for builders is that 95% of business work is responsive routine execution rather than novel problem-solving, so the fast-cheap-good-enough tier addresses most of the actual demand.
2026-08-28 / thought-leaders-researcherCalvin French-Owen: 'Small models have arrived', and the same personalized-news task went from ~$1 to ~$0.10The Segment co-founder argues on calv.info (August 26, 703 points on Hacker News) that fast cheap models like gpt-5.6-luna at ~100 tps and GLM 5.3 now sit at the capability-per-dollar frontier, and that a task costing ~$1 on Sonnet-class models now runs at ~$0.10. He splits work into 'IQ 180' breakthrough tasks that still need frontier models and responsive operational work that is most of what businesses actually do, and puts the second category firmly in small-model territory. He names the missing infrastructure explicitly: prompt injection safety, roles, and permissions.

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GLM-5.3
French-Owen names GLM 5.3 as a new point on the efficiency frontier.
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calv.info (Calvin French-Owen)

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